This course explores the mathematical theory of probability and statistics and is intended for students in Science, Engineering, Computer Science and Business degree programs. Students are introduced to the concepts of descriptive statistics, laws of probability, probability distributions for discrete, continuous and jointly distributed random variables, laws of expectation, estimation, hypothesis testing, correlation and regression.
Prerequisites
MATH 1200 with a C- or equivalent.
Missing prerequisites?
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What you will learn
- Descriptive statistics
- Laws of probability
- Discrete distributions: Variables, expectations, Binomial and Poisson's distributions
- Continuous distributions: Normal, gamma and exponential distributions
- Normal approximation to Binomial distribution and jointly distributed random variables
- Sampling distributions and the Central Limit Theorem
- Estimation and hypothesis testing for one-sample, two-sample and matched pairs data
- Chi-square test for association
- Correlation and regression
How to register
This course is offered as part of a VCC program only.
Course schedules
Select your program to see the available course schedules.
| CRN# | Duration | Delivery | Location | ||
|---|---|---|---|---|---|
| 60999 |
May 4, 2026 to August 21, 2026 |
Lecture Online |
Varies | See full schedule | Register |
Online courses listed without scheduled meeting times can be completed on your own schedule.
Contact us
If you have any question, please email at advising@vcc.ca.
† This information is intended as a guideline only. Program and course details are subject to change with the approval of VCC's Board of Governors.